AudioAlpha

get_market_signals

Get scenario strategic signals across all assets for a given date. Each signal includes signal type, horizon, scenario description, trigger conditions, confidence score and invalidating conditions. (Not financial advice.)

Input Schema

TableJSON Schema

Name	Required	Description	Default
`date`	No	Date in YYYY-MM-DD format. Omit for latest.
`version_info`	No	When true, include version metadata in the response: both version_num (the revision number) and version_label (a human-readable label like "eod_utc" for the initial end-of-day build, or "revised" when a later-indexed podcast triggered a regeneration). When false (the default), neither field is included. Note: the snapshot generation "status" field is ALWAYS returned regardless of this flag.
`snapshot_type`	No	Asset universe to draw the snapshot from. Currently only "crypto" is available; "tradfi" is reserved for a future release. Defaults to "crypto".	crypto
`version_number`	No	Which revision of the snapshot to return. Each snapshot date can be re-generated multiple times (version 1, 2, 3, …). Use -1 (the default) to always get the latest authoritative version (is_latest = true). If you request a specific version that does not exist for the given date + snapshot_type, the latest version is returned instead.

TDQS

A3.8/5.0

Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the burden of disclosure. It explains the structure of the returned signals and adds a 'not financial advice' disclaimer, which is useful. However, it does not mention authentication, rate limits, or behavior for missing data or invalid dates, leaving some ambiguity for a read operation.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single clear sentence followed by a short disclaimer. It is front-loaded with the action and resource, and every phrase serves a purpose. This is appropriately sized and well structured.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no output schema, the description sufficiently outlines the content of each signal. It does not explain the optional date or snapshot_type limitations, but the schema covers these. Given the read-only nature and adequate schema documentation, the description is complete enough for the tool's purpose.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema covers all four parameters with descriptions, including defaults and version behavior. The description does not add any additional parameter semantics beyond what the schema already provides, so it relies entirely on the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the resource ('scenario strategic signals'), the scope ('across all assets'), and the temporal constraint ('for a given date'). It also enumerates the signal components, which differentiates it from per-ticker tools like get_ticker_signals.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies the tool is for retrieving market-wide scenario signals, but it does not explicitly state when to use it over sibling tools such as get_ticker_signals or get_market_snapshot. No exclusions or alternative recommendations are provided, making the usage context only implicit.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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TDQS

A3.9/5.0

Disambiguation5/5

Every tool targets a distinct resource and data aspect: episode details, quotes, transcript, summary, market snapshots, ticker history, user feeds, etc. Even the 'full' composite variants are clearly described as one-call conveniences that bundle granular data, so there is no real ambiguity about which tool to use.

Naming Consistency5/5

All 23 tools follow a consistent 'get_<entity>_<detail>' pattern using lowercase snake_case. This uniformity makes the tool names predictable and mentally indexed, with no mixing of verb styles or naming conventions.

Tool Count3/5

With 23 tools, the server sits in the 'heavy' range (16–25) and feels a bit bloated. The breadth of resources justifies many endpoints, but several composite 'full' versions and overlapping history functions inflate the count and could be consolidated without losing capability.

Completeness4/5

The read-only surface covers core workflows well: episode-level detail, podcast discovery, market-wide snapshots/history/themes, ticker-specific data/leaderboards, and user personalization. Minor gaps include no way to enumerate all supported tickers or podcasts beyond search, and no direct episode list by date without going through the market endpoint.

Resources

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